code: def base_cfg():
      cfg = CfgNode()
      cfg.model_name = "google_albert_base_v2"
      cfg.version = 2.0
      cfg.batch_size = 4
      cfg.num_accumulated = 3
      cfg.epochs = 3
      cfg.lr = 2e-5
      cfg.warmup_ratio = 0.1
      cfg.wd = 0.01
      cfg.max_grad_norm = 1.0
      cfg.max_seq_length = 512
      cfg.layerwise_decay = -1
      cfg.dtype = "float32"
      return cfg
  
file_path: gluon-nlp/scripts/question_answering/commands/generate_commands.py
imports: import re
  import os
  from gluonnlp.utils.config import CfgNode
label_desc: Use image node_id 1 for calling a global function with example usage: base_cfg() and returns: cfg